COVID-19 in Italy. Visuals

(alternatively, see results and code together here)

 

Data source: this GitHubi page

Authors and sources mentioned: Editore/Autore del dataset: Dipartimento della Protezione Civile. Categoria ISO 19115: Salute. Dati forniti dal Ministero della Salute.

Regional data files (Dati per Regione):
  • Struttura file giornaliero: dpc-covid19-ita-regioni-yyyymmdd.csv (dpc-covid19-ita-regioni-20200224.csv)
  • File complessivo: dpc-covid19-ita-regioni.csv
  • File ultimi dati (latest): dpc-covid19-ita-regioni-latest.csv

 

Out[4]:

Currently data as of date: 2021-01-23T17:00:00

 

What's in the original dataframe?

Out[5]:

All column names: ['data', 'stato', 'codice_regione', 'denominazione_regione', 'lat', 'long', 'ricoverati_con_sintomi', 'terapia_intensiva', 'totale_ospedalizzati', 'isolamento_domiciliare', 'totale_positivi', 'variazione_totale_positivi', 'nuovi_positivi', 'dimessi_guariti', 'deceduti', 'casi_da_sospetto_diagnostico', 'casi_da_screening', 'totale_casi', 'tamponi', 'casi_testati', 'note', 'ingressi_terapia_intensiva', 'note_test', 'note_casi', 'totale_positivi_test_molecolare', 'totale_positivi_test_antigenico_rapido', 'tamponi_test_molecolare', 'tamponi_test_antigenico_rapido', 'codice_nuts_1', 'codice_nuts_2']

Out[7]:
data stato codice_regione denominazione_regione lat long ricoverati_con_sintomi terapia_intensiva totale_ospedalizzati isolamento_domiciliare ... note ingressi_terapia_intensiva note_test note_casi totale_positivi_test_molecolare totale_positivi_test_antigenico_rapido tamponi_test_molecolare tamponi_test_antigenico_rapido codice_nuts_1 codice_nuts_2
7030 2021-01-23T17:00:00 ITA 19 Sicilia 38.115697 13.362357 1444 223 1667 45960 ... NaN 14.0 NaN NaN 128877.0 0.0 1431974.0 151914.0 ITG ITG2
7031 2021-01-23T17:00:00 ITA 9 Toscana 43.769231 11.255889 629 107 736 7525 ... NaN 8.0 NaN NaN 130295.0 38.0 2078051.0 45882.0 ITG ITG1
7032 2021-01-23T17:00:00 ITA 10 Umbria 43.106758 12.388247 292 46 338 4691 ... NaN 5.0 NaN NaN 33822.0 0.0 567260.0 11238.0 ITI ITI2
7033 2021-01-23T17:00:00 ITA 2 Valle d'Aosta 45.737503 7.320149 43 2 45 282 ... NaN 0.0 NaN NaN 7720.0 0.0 67704.0 444.0 ITC ITC2
7034 2021-01-23T17:00:00 ITA 5 Veneto 45.434905 12.338452 1843 286 2129 45412 ... Nei valori riportati per le terapie intensive ... 18.0 NaN NaN 304717.0 0.0 3657997.0 222352.0 ITH ITH3

5 rows × 30 columns

 

Variable names to English and their explanation

  • HospWithSymptoms : Currently hospitalized patients with symptoms
  • IC : Intensive care
  • HospTotal: Total number of currently hospitalized patients
  • AtHome : Currently at home confinement
  • CurrentlyPositive : Total amount of current positive cases (Hospitalised patients + Home confinement)
  • NewPositives : New amount of positive cases (Actual total amount of current positive cases - total amount of current positive cases of the previous day)
  • TotalCases : Total amount of positive cases
  • NoOfTests : Tests performed
Out[8]:
Date Region Lat Long HospWithSymptoms IC HospTotal AtHome CurrentlyPositive VariationOfPositives ... ingr_ter_intens note_test note_casi totale_positivi_test_molecolare totale_positivi_test_antigenico_rapido tamponi_test_molecolare tamponi_test_antigenico_rapido codice_nuts_1 codice_nuts_2 Pop
Date
2021-01-19 2021-01-19 Veneto 45.434905 12.338452 2164 318 2482 60689 63171 -5912 ... 27.0 NaN NaN 300127.0 0.0 3598134.0 108882.0 ITH ITH3 4905854
2021-01-20 2021-01-20 Veneto 45.434905 12.338452 2096 315 2411 55058 57469 -5702 ... 16.0 NaN NaN 301486.0 0.0 3615256.0 136074.0 ITH ITH3 4905854
2021-01-21 2021-01-21 Veneto 45.434905 12.338452 1991 305 2296 51261 53557 -3912 ... 23.0 NaN NaN 302489.0 0.0 3630227.0 157055.0 ITH ITH3 4905854
2021-01-22 2021-01-22 Veneto 45.434905 12.338452 1935 291 2226 47624 49850 -3707 ... 15.0 NaN NaN 303687.0 0.0 3644507.0 186365.0 ITH ITH3 4905854
2021-01-23 2021-01-23 Veneto 45.434905 12.338452 1843 286 2129 45412 47541 -2309 ... 18.0 NaN NaN 304717.0 0.0 3657997.0 222352.0 ITH ITH3 4905854

5 rows × 29 columns

 

daily numbers & moving averages (MA)

(double click and click on legend to select one or multiple regions in the graph)

 

All regions together